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Insights from molecular modeling and dynamics simulation of pathogen resistance (R) protein from brinjal

Resistance (R) protein recognizes molecular signature of pathogen infection and activates downstream hypersensitive response signalling in plants. R protein works as a molecular switch for pathogen defence signalling and represent one of the largest plant gene family. Hence, understanding molecular...

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Autores principales: Shrivastava, Dipty, Nain, Vikrant, Sahi, Shakti, Verma, Anju, Sharma, Priyanka, Sharma, Prakash Chand, Kumar, Polumetla Ananda
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3046036/
https://www.ncbi.nlm.nih.gov/pubmed/21383919
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author Shrivastava, Dipty
Nain, Vikrant
Sahi, Shakti
Verma, Anju
Sharma, Priyanka
Sharma, Prakash Chand
Kumar, Polumetla Ananda
author_facet Shrivastava, Dipty
Nain, Vikrant
Sahi, Shakti
Verma, Anju
Sharma, Priyanka
Sharma, Prakash Chand
Kumar, Polumetla Ananda
author_sort Shrivastava, Dipty
collection PubMed
description Resistance (R) protein recognizes molecular signature of pathogen infection and activates downstream hypersensitive response signalling in plants. R protein works as a molecular switch for pathogen defence signalling and represent one of the largest plant gene family. Hence, understanding molecular structure and function of R proteins has been of paramount importance for plant biologists. The present study is aimed at predicting structure of R proteins signalling domains (CC-NBS) by creating a homology model, refining and optimising the model by molecular dynamics simulation and comparing ADP and ATP binding. Based on sequence similarity with proteins of known structures, CC-NBS domains were initially modelled using CED- 4 (cell death abnormality protein) and APAF-1 (apoptotic protease activating factor) as multiple templates. The final CC-NBS structural model was built and optimized by molecular dynamic simulation for 5 nanoseconds (ns). Docking of ADP and ATP at active site shows that both ligand bind specifically with same residues and with minor difference (1 Kcal/mol) in binding energy. Sharing of binding site by ADP and ATP and low difference in their binding site makes CC-NBS suitable for working as molecular switch. Furthermore, structural superimposition elucidate that CC-NBS and CARD (caspase recruitment domains) domain of CED-4 have low RMSD value of 0.9 A° Availability of 3D structural model for both CC and NBS domains will . help in getting deeper insight in these pathogen defence genes.
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spelling pubmed-30460362011-03-07 Insights from molecular modeling and dynamics simulation of pathogen resistance (R) protein from brinjal Shrivastava, Dipty Nain, Vikrant Sahi, Shakti Verma, Anju Sharma, Priyanka Sharma, Prakash Chand Kumar, Polumetla Ananda Bioinformation Hypothesis Resistance (R) protein recognizes molecular signature of pathogen infection and activates downstream hypersensitive response signalling in plants. R protein works as a molecular switch for pathogen defence signalling and represent one of the largest plant gene family. Hence, understanding molecular structure and function of R proteins has been of paramount importance for plant biologists. The present study is aimed at predicting structure of R proteins signalling domains (CC-NBS) by creating a homology model, refining and optimising the model by molecular dynamics simulation and comparing ADP and ATP binding. Based on sequence similarity with proteins of known structures, CC-NBS domains were initially modelled using CED- 4 (cell death abnormality protein) and APAF-1 (apoptotic protease activating factor) as multiple templates. The final CC-NBS structural model was built and optimized by molecular dynamic simulation for 5 nanoseconds (ns). Docking of ADP and ATP at active site shows that both ligand bind specifically with same residues and with minor difference (1 Kcal/mol) in binding energy. Sharing of binding site by ADP and ATP and low difference in their binding site makes CC-NBS suitable for working as molecular switch. Furthermore, structural superimposition elucidate that CC-NBS and CARD (caspase recruitment domains) domain of CED-4 have low RMSD value of 0.9 A° Availability of 3D structural model for both CC and NBS domains will . help in getting deeper insight in these pathogen defence genes. Biomedical Informatics 2011-01-22 /pmc/articles/PMC3046036/ /pubmed/21383919 Text en © 2011 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Shrivastava, Dipty
Nain, Vikrant
Sahi, Shakti
Verma, Anju
Sharma, Priyanka
Sharma, Prakash Chand
Kumar, Polumetla Ananda
Insights from molecular modeling and dynamics simulation of pathogen resistance (R) protein from brinjal
title Insights from molecular modeling and dynamics simulation of pathogen resistance (R) protein from brinjal
title_full Insights from molecular modeling and dynamics simulation of pathogen resistance (R) protein from brinjal
title_fullStr Insights from molecular modeling and dynamics simulation of pathogen resistance (R) protein from brinjal
title_full_unstemmed Insights from molecular modeling and dynamics simulation of pathogen resistance (R) protein from brinjal
title_short Insights from molecular modeling and dynamics simulation of pathogen resistance (R) protein from brinjal
title_sort insights from molecular modeling and dynamics simulation of pathogen resistance (r) protein from brinjal
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3046036/
https://www.ncbi.nlm.nih.gov/pubmed/21383919
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